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🌸News from MIT: A New AI-Powered Probabilistic Programming Language
It can impartially assess the "fairness" of AI algorithms more accurately and faster than existing alternatives. This Sum-Product Probabilistic Language (SPPL) is a probabilistic programming system - a new area at the intersection of programming languages and AI that simplifies the development of AI solutions using probabilistic models and explanations of observable data.
SPPL offers improved flexibility and robustness through the expressiveness of the language, its precise and simple semantics, and the speed and reliability of its exact character output engine. This avoids pitfalls by limiting it to a carefully designed class of AI models, including decision tree classifiers. SPPL works by compiling probabilistic programs into a specialized data structure called a sum-product expression. However, this approach cannot analyze neural networks, although it works faster than other similar solutions. SPPL is Python-based open source project.
https://news.mit.edu/2021/exact-symbolic-artificial-intelligence-faster-better-assessment-ai-fairness-0809
https://github.com/probcomp/sppl
MIT News Exact symbolic artificial intelligence for faster, better assessment of AI fairness A new domain-specific artificial intelligence programming language developed at MIT allows for error-free, exact, automatic solutions to hard AI problems — and it’s thousands of times faster than alternatives. The researchers' Sum-Product Probabilistic Language…
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